A Bikeability Index for Last-Mile Electric Cargo Cycles

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dc.contributor.advisorGingerich, Kevin
dc.contributor.authorTran, David Chiu
dc.date.accessioned2025-04-10T10:55:07Z
dc.date.available2025-04-10T10:55:07Z
dc.date.copyright2024-12-19
dc.date.issued2025-04-10
dc.date.updated2025-04-10T10:55:07Z
dc.degree.disciplineCivil Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractA scoring index is developed to analyze the attractiveness of bike routes in urban areas for last-mile logistics using electric cargo cycles (ECCs). This thesis creates the ECC scoring index using a survey with participants riding on four routes within the York University Keele Campus. A literature review is conducted to identify twelve variables for the score. Data is collected using a GPS-connected smartphone, a Gyroscope and a GoPro camera. Participants are asked to rate specified variables on infrastructure, safety and behaviour. The analytical hierarchy process is used to compute the weights for each variable using pairwise comparisons. Variables with the highest weights out of 100% include collision risk (24.3%-25.5%), visibility (11.1%-13.0%) and pavement condition (9.9%-12.4%). A simplified scoring index is derived using variables that could easily be applied to other routes to test its transferability.
dc.identifier.urihttps://hdl.handle.net/10315/42854
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subject.keywordsLogistics
dc.subject.keywordsElectric cargo bikes
dc.subject.keywordsCycling
dc.subject.keywordsLast-mile delivery
dc.subject.keywordsSustainable transport
dc.subject.keywordsRoute choice model
dc.subject.keywordsOrdered logit
dc.subject.keywordsAnalytical hierarchal process
dc.titleA Bikeability Index for Last-Mile Electric Cargo Cycles
dc.typeElectronic Thesis or Dissertation

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